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dc.contributor.authorFresno, Cristóbal
dc.contributor.authorLlera, Andrea S
dc.contributor.authorGirotti, María R
dc.contributor.authorValacco, María P
dc.contributor.authorLopez, Juan Antonio 
dc.contributor.authorPodhajcer, Osvaldo L
dc.contributor.authorBalzarini, Mónica G
dc.contributor.authorPrada, Federico
dc.contributor.authorFernández, Elmer A
dc.date.accessioned2019-05-23T14:04:05Z
dc.date.available2019-05-23T14:04:05Z
dc.date.issued2012-02
dc.identifier.citationComput Biol Med. 2012; 42(2):188-94es_ES
dc.identifier.issn00104825es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/7672
dc.description.abstractSet enrichment analysis (SEA) is used to identify enriched biological categories/terms within high-throughput differential expression experiments. This is done by evaluating the proportion of differentially expressed genes against a background reference (BR). However, the choice of the "appropriate" BR is a perplexing problem and results will depend on it. Here, a visualization procedure that integrates results from several BRs and a stability analysis of enriched terms is presented as a tool to aid SEA. The multi-reference contrast method (MRCM) combines results from multiple BRs in a unique picture. The application of the proposed method was illustrated in one proteomic and three microarray experiments. The MRCM facilitates the exploration task involved in ontology analysis on proteomic/genomic experiments, where consensus terms were found to validate main experimental hypothesis. The use of more than one reference may provide new biological insights. The tool automatically highlights non-consensus terms assisting SEA.es_ES
dc.language.isoenges_ES
dc.publisherElsevier es_ES
dc.type.hasVersionAMes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.meshAnimals es_ES
dc.subject.meshCluster Analysis es_ES
dc.subject.meshData Mining es_ES
dc.subject.meshElectrophoresis, Gel, Two-Dimensional es_ES
dc.subject.meshGene Expression Profiling es_ES
dc.subject.meshGenomics es_ES
dc.subject.meshHumans es_ES
dc.subject.meshMice es_ES
dc.subject.meshModels, Theoretical es_ES
dc.subject.meshOligonucleotide Array Sequence Analysis es_ES
dc.subject.meshProteomics es_ES
dc.subject.meshDatabases, Genetic es_ES
dc.subject.meshTerminology as Topic es_ES
dc.titleThe multi-reference contrast method: facilitating set enrichment analysises_ES
dc.typejournal articlees_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.pubmedID22226646es_ES
dc.format.volume42es_ES
dc.format.number2es_ES
dc.format.page188-94es_ES
dc.identifier.doi10.1016/j.compbiomed.2011.11.007es_ES
dc.description.peerreviewedes_ES
dc.identifier.e-issn1879-0534es_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.compbiomed.2011.11.007es_ES
dc.identifier.journalComputers in biology and medicinees_ES
dc.repisalud.orgCNICCNIC::Unidades técnicas::Proteómica / Metabolómicaes_ES
dc.repisalud.institucionCNICes_ES
dc.rights.accessRightsopen accesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This item is licensed under a: Attribution-NonCommercial-NoDerivatives 4.0 Internacional